{"title":"印度东北部地区喜马拉雅森林的气候变化生态脆弱性和热点分析","authors":"Lungyina B. Meru , Rajiv Pandey","doi":"10.1016/j.indic.2024.100472","DOIUrl":null,"url":null,"abstract":"<div><p>The Himalayan forests are vulnerable to climate change leading to disturb the current flow of critical ecosystem services to the dependent population. Present study attempts to evaluate the current vulnerability status of major forest types in Nagaland, India due to climate change along with identifying the hot spots for mitigating the vulnerability of the forests. Vulnerability of mixed moist deciduous, pine, wet hill and wet temperate forests were evaluated using the IPCC framework. Local Moran's I analysis, hot spot analysis and a histogram analysis of the vulnerability were made in QGIS. Field data such as Shannon-Wiener Index and Importance Value Index along with secondary data such as edaphic factors, vegetation factors and climatic variables were used for vulnerability analysis. Analysis results that mixed moist deciduous forests had the highest area in under high-high clusters, hot spots and was highly vulnerable. The result suggests that very dense or moderately dense forest cover were less vulnerable than low density forests in the region. The study provides baseline information along with identification of vulnerable hot spot forests for future climate change policy and management of resources at the division level. The study suggests strengthening the less dense forests along with increasing the biodiversity through suitable strategy for mitigating the vulnerability.</p></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"24 ","pages":"Article 100472"},"PeriodicalIF":5.4000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665972724001405/pdfft?md5=3695022b631402d6cc014b426d73c342&pid=1-s2.0-S2665972724001405-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Climate change ecological vulnerability and hotspot analysis of himalayan forests in North-Eastern region, India\",\"authors\":\"Lungyina B. 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引用次数: 0
摘要
喜马拉雅山脉的森林很容易受到气候变化的影响,从而扰乱目前为依赖森林的人口提供的重要生态系统服务。本研究试图评估印度那加兰邦主要森林类型因气候变化而变得脆弱的现状,并确定减轻森林脆弱性的热点。采用 IPCC 框架评估了湿润落叶混交林、松树林、湿润丘陵林和湿润温带林的脆弱性。使用 QGIS 对脆弱性进行了本地莫兰 I 分析、热点分析和直方图分析。脆弱性分析使用了香农-维纳指数和重要性价值指数等实地数据以及环境因子、植被因子和气候变量等次要数据。分析结果表明,湿润落叶混交林在高-高群落、热点地区的面积最大,极易受到影响。结果表明,在该地区,非常茂密或中等茂密的森林植被的脆弱性低于低密度森林。这项研究提供了基线信息,并确定了脆弱的热点森林,为未来的气候变化政策和分区一级的资源管理提供了依据。研究建议通过适当的战略来加强密度较低的森林,同时增加生物多样性,以减轻其脆弱性。
Climate change ecological vulnerability and hotspot analysis of himalayan forests in North-Eastern region, India
The Himalayan forests are vulnerable to climate change leading to disturb the current flow of critical ecosystem services to the dependent population. Present study attempts to evaluate the current vulnerability status of major forest types in Nagaland, India due to climate change along with identifying the hot spots for mitigating the vulnerability of the forests. Vulnerability of mixed moist deciduous, pine, wet hill and wet temperate forests were evaluated using the IPCC framework. Local Moran's I analysis, hot spot analysis and a histogram analysis of the vulnerability were made in QGIS. Field data such as Shannon-Wiener Index and Importance Value Index along with secondary data such as edaphic factors, vegetation factors and climatic variables were used for vulnerability analysis. Analysis results that mixed moist deciduous forests had the highest area in under high-high clusters, hot spots and was highly vulnerable. The result suggests that very dense or moderately dense forest cover were less vulnerable than low density forests in the region. The study provides baseline information along with identification of vulnerable hot spot forests for future climate change policy and management of resources at the division level. The study suggests strengthening the less dense forests along with increasing the biodiversity through suitable strategy for mitigating the vulnerability.